Faculty

The MSCF faculty are key to the success of the MSCF program.
Comprised of individuals ranging from senior faculty members of superior achievement to promising and aggressive junior professionals, all are dedicated to fostering an atmosphere of collaboration and preparation for the MSCF student. Indeed, the stature of the professors teaching in the MSCF course sequence is a highly visible indication of the resources committed to this world renowned program.
Faculty members also conduct theoretical and applied research.   Examples of faculty research include "Robustness of the Black and Scholes Formula" and "A General Framework for Pricing Credit Risk" by Steve Shreve; "Real-Time Queueing Theory" and "Simulation Methods for Option Pricing" by John Lehoczky; and "Equilibrium Forward Curves for Commodities" and "Equilibrium Block Trading and Asymmetric Information" by Duane Seppi. The inter-disciplinary Center for Computational Finance organizes distinguished lectures, seminars and conferences at Carnegie Mellon.

A part of this research is facilitated by leaves of absence or through serving as consultants for business, industry and government. In this way, they are able to pursue the practical implications of quantitative financial theory and, through their accomplishments, help forge the frontiers of quantitative finance.

All inquiries regarding the MSCF program and the application process from prospective students should be directed to the MSCF Admissions Office by email at mscf-admissions@andrew.cmu.edu or by phone at 412.268.3679.
  • Business & Finance Faculty

    Richard L. Bryant
    Professor Bryant, Adjunct Professor of Industrial Administration, received his BA from Denison University in 1975 and MBA from Carnegie Mellon in 1980. Following six years with H.J. Heinz Company in their Corporate M&A and Treasury areas, Bryant became Reebok International's Treasurer in 1988 and in 1993, Chief Financial Officer of Hefren-Tillotson, a broker/dealer and investment advisor. Professor Bryant joined the Tepper School in 1999 as the Executive Director of Carnegie Mellon's Computational Finance Program and over the years has taught both in Tepper's undergraduate finance program and in the MSCF program.

    Richard Green
    Rick Green is the Richard M. and Margaret S. Professor of Financial Economics at Carnegie Mellon University, where he has served on the faculty since 1982. He received his Ph.D. from the University of Wisconsin. He has also been a Visiting Professor at the Stockholm School of Economics and the University of British Columbia. Rick’s research concerns the effects of risk and taxation on the pricing of financial assets, financial intermediation, and corporate decision making. His articles have appeared in numerous finance and economics journals. He has been a Co-Editor of the Review of Financial Studies, Associate Editor of several professional journals in finance, and Editor of the Journal of Finance. Rick has served as President of the Western Finance Association, Vice President of the Society for Financial Studies, and President of the American Finance Association. He is a Fellow of the American Finance Association and the Financial Management Association. At Carnegie Mellon he has taught corporate finance and investments in all the business school’s programs. He was awarded the George Leland Bach Teaching Award by the graduating class of 1996, and won the Commerce Graduate Society Teaching Excellence Award during his year as a visitor at British Columbia. He currently serves as Senior Associate Dean for Faculty and Research.

    Javier Pena
    Javier Pena is a Professor of Operations Research at the Tepper School of Business, Carnegie Mellon University. He earned his Ph.D. in Applied Mathematics from Cornell University in 1998. His teaching and research interests include financial optimization, machine learning, and convex optimization. Dr Pena's publications have appeared in journals such as Quantitative Finance, Journal of Risk, Mathematics of Operations Research, and the SIAM Journal on Optimization. Dr. Pena has consulted with Axioma Inc. in the development and implementation of algorithmic tools for portfolio management. Dr. Pena was the recipient of the 2005 George Leland Bach MBA Teaching Award for excellence in the classroom.

    Evelyn Pierce
    Associate Teaching Professor of Business Management Communication and Director of the Center for Excellence in Communication and Leadership at Tepper where she has taught for 17 years. Evelyn completed her terminal degree in 1991 in Fine Arts (Writing) at the University of Pittsburgh. Her research and consulting focuses on the development and implementation of executive problem-solving skills in communications, corporate leadership and communication strategies, cross-team collaboration, and team building. She has been awarded the Sustained Excellence in Teaching Award, B.S. Business Administration Program in 2004 as well as the Department of Industrial Management Undergraduate Teaching Award, GSIA in 1996. In 1998, Evelyn coached the Grand Prize team at the EDS International Case Competition. She regularly consults with PNC Bank, Bayer, Inc., Medrad, Inc., Alcoa, LifeCare Residency Services, Corazon Consulting, and Spann Consulting.

    Bryan Routledge
    Bryan Routledge is an Associate Professor of Finance at the Tepper School of Business, Carnegie Mellon University.  He received his Ph.D. from the University of British Columbia in 1996 and a Bachelor of Commerce from Queens University in 1987.  His research focuses on a broad selection of topics in finance. Current research applies quantitative text analysis and natural language processing to economic and financial research questions (e.g, how management discussion and analysis conveys risk, and how Twitter can track public opinion).  Other recent research investigates the quantitative properties of asset prices and macroeconomics such as the positive correlation of asset returns with future economic growth and understanding the connection between risk attitudes and asset pricing dynamics, and the risk premia of commodity prices.  He is an associate editor at the Journal of Quantitative Finance and the Critical Review of Finance and current Secretary Treasurer of the Western Finance Association. Teaching includes "Corporate Finance," "Private Equity and Venture Capital", and "Alpha: Implementing Quantitative Strategies."

    Duane J. Seppi
    BNY Mellon Professor of Finance at the Tepper School of Business. Received his Ph.D. from the University of Chicago in 1988. His teaching and research interests include energy and commodity derivatives, stochastic volatility modeling, market microstructure, limit orders, and liquidity. His research has been published in the Review of Financial Studies, Journal of Finance, Journal of Financial Economics and other leading finance and economics journals. He is or has been on the editorial boards of the Journal of Finance, the Review of Financial Studies, the Journal of Financial Markets, and the Review of Finance. He was a visiting scholar at the US Securities and Exchange Commission in 2006.

    Richard O. Young
    Teaching Professor in Management Communication received his Ph. D. from Carnegie Mellon University in 1989 with a dissertation on the differences between expert and novice management consultants. Since then, he has served as a management consultant for a number of U.S. firms and start-ups. Dr. Young's research is focused on conflict resolution and on the decision-making expertise of the audiences of managers. He has presented many papers at national conferences. He is the author of How Audiences Decide: A Cognitive Approach to Business Communication, New York: Routledge, 2011.

    Ariel Zetlin-Jones
    Assistant Professor of Economics at the Tepper School of Business.
  • IT Faculty

    Stephen Roehrig
    Teaching Professor of Information Systems and Public Policy. He received his Ph.D. in 1992 from the University of Pennsylvania. His teaching interests include object-oriented programming and program design, uncertain reasoning, database confidentiality and evolutionary programming. Dr. Roehrig's current research applies mathematical programming and probabilistic methods to database confidentiality protection and intelligent databases. He has consulted for a number of government agencies such as the Bureau of the Census, Bureau of Labor Statistics and Executive Office of the President (Office of Management and Budget). Dr. Roehrig has an extensive list of publications in journals such as Operations Research, Management Science, and the Journal of Official Statistics.
  • Math Faculty

    William J. Hrusa
    Professor of Mathematical Sciences, Dr. Hrusa earned his Ph.D. from Brown University.  His main areas of research are in partial differential equations, integral equations, and calculus of variations with particular emphasis on problems that arise in continuum mechanics. Current research is focused on Lavrentiev’s phenomenon in the calculus variations, i.e. with situations in which the infimum for a given variational problem is sensitive to the precise degree of regularity that is assumed for the competing functions. A major goal is to understand if this phenomenon can occur for realistic problems in nonlinear elasticity.

    Dmitry Kramkov
    Mellon College of Science Professor of Mathematical Finance, Professor Kramkov earned his Ph.D. from the Steklov Mathematical Institute in Moscow in 1991. His current research is mainly focused on topics in mathematical finance such as equilibrium, dynamic game theory, option pricing theory, and optimal investment. In 1996 he received a prize of the Second European Congress of Mathematics in Budapest for his research on statistics and mathematical finance. From 1997 to 2000 Dr. Kramkov worked for Tokyo-Mitsubishi International in London, where he was the Acting Head of Research and Product Development. His main responsibility was the evaluation of complex derivative contracts. Dr. Kramkov currently serves as a member of the Executive Board of the Bachelier Finance Society and as an Associate Editor of the journal of Finance and Stochastics. He has an affiliation with the University of Oxford, where he is a member of Man-Oxford Institute for Quantitative Finance.

    Kasper Larsen
    Associate Professor of Mathematical Sciences with a background in Mathematical Economics from the University of Southern Denmark. Dr. Larsen's research interests are mainly how mathematical tools can be applied to solve problems from finance and economics. The main research focus is utility theory and various applications hereof such as model stability and equilibrium price formation. His work has been published in journals such as the Mathematical Finance, Finance and Stochastics, Annals of Applied Probability, and Journal of Economic Theory.

    Roy A. Nicolaides
    Professor of Mathematical Sciences, Ph.D. from the University of London. Professor Nicolaides' research and teaching interests include applications of partial differential equations to mathematical finance and other fields.  He serves or has served on the editorial boards of the Journal of Computational Finance, the SIAM Journal of Scientific Computing, the Journal of Computational Fluid Dynamics, and other journals. Professor Nicolaides teaches the MSCF course on numerical methods for partial differential equations, which he has done since the program began in 1994.

    Scott Robertson
    Assistant Professor of Mathematical Sciences, Professor Robertson earned his Ph.D. from Boston University. His research focuses on using the theory of Large Deviations to solve problems of optimal investment and options pricing in Mathematical Finance.  Prior to attending graduate school, Professor Robertson worked for four years as an analyst in the Fixed-Income research departments at both Citigroup and Fidelity Investments. Professor Robertson's papers have been published in Mathematical Finance, Finance and Stochastics, and the Annals of Applied Probability.

    Steven Shreve
    Orion Hoch and University Professor of Mathematical Sciences and member of the MSCF Steering Committee. Professor Shreve earned his Ph.D. in 1977 from the University of Illinois. His research and teaching interests range from capital asset pricing models to various aspects of mathematical finance, including studying the effect of transaction costs and unknown volatility on option prices and the pricing and hedging of exotic options. Dr. Shreve is past-President of the Bachelier Finance Society. In 1994, Dr. Shreve was one of the founders of the Carnegie Mellon Master's program in Computational Finance. Dr. Shreve serves as Advisory Editor of the journal, "Finance and Stochastics." He has co-authored a number of books, including "Brownian Motion and Stochastic Calculus" and "Methods of Mathematical Finance." He has written a two-volume work based on his teaching in the MSCF program, "Stochastic Calculus for Finance."
  • Statistics Faculty

    John P. Lehoczky
    Thomas Lord University Professor of Statistics and Mathematical Sciences received his Ph.D. in statistics from Stanford University in 1969. Dr. Lehoczky's main teaching and research interests involve the theory and application of stochastic processes to model the behavior of real applications. Over the last five years, Dr. Lehoczky has focused on two broad application areas: financial markets and real-time computer systems. In finance, he has been involved in the development of new simulation methodologies to price and hedge complex securities. More recently, Dr. Lehoczky has been focusing on the estimation of parameters of stochastic differential equations and its application to term structure or asset price process models. His research in real-time computer systems involves collaboration with researchers at the CMU School of Computer Science, Software Engineering Institute, Electrical and Computer Engineering Department and the Department of Mathematical Sciences. Dr. Lehoczky is developing, jointly with Professor Steve Shreve, a new analytic methodology called real-time queuing theory, which predicts the ability of a queuing system to satisfy the timing requirements of the tasks, which use it. The theory is being implemented and tested on several pilot systems at CMU.  He has been published extensively in a variety of journals including Annals of Applied Probability, Management Science, and Real-Time Systems and Dr. Lehoczky has served on the editorial staff of Management Science, IEEE Transactions on Computers, and Real Time Systems

    Rebecca Nugent

    Associate Teaching Professor of Statistics, received her PhD in Statistics from the University of Washington in Seattle in 2006. Her primary research interests involve exploring and determining the structure of high-dimensional clustering and classification problems with specific applications in record linkage and text disambiguation. Most of her projects also include the development of graphics and visualization methodology, a necessary tool for high-dimensional problems. One of her current primary collaborations is with researchers in the Department of Engineering and Public Policy and focuses on modeling changes in technology, innovation, and entrepreneurship using patents as proxies for intellectual innovation and productivity.   She publishes primarily in statistical computing journals such as Journal of Computational and Graphical Statistics and Advances in Data Analysis and Classification. She is also very active in developing both graduate and undergraduate curriculum, including research programs that train undergraduates to join the modern statistics workforce. She teaches a wide variety of classes, recently in regression, clustering, classification, graphics, probability, statistical inference, and networks. In 2013, she received Dietrich College's Elliott Dunlap Smith Award for Distinguished Teaching and Educational Service.

    Chad Schafer

    Associate Professor of Statistics, received his Ph.D. in statistics from the University of California, Berkeley in 2004. His primary research interests focus on addressing inference problems in the physical sciences using novel, often computationally- intensive, statistical methods. He is a part of the McWilliams Center for Cosmology at CMU and actively collaborates with researchers in astronomy, particle physics, and risk assessment.  He has published in the Journal of the American Statistical Association and the Astrophysical Journal, among others.

    Mark J. Schervish
    Professor of Statistics, received his Ph.D. in statistics from the University of Illinois in 1979. Dr. Schervish's main research interests involve the foundations of inference, the theory and application of Gaussian processes, and modeling of financial data. Dr. Schervish has collaborated with researchers in Civil, Mechanical, and Electrical Engineering on statistical modeling of real-world processes. Dr. Schervish has published a number of books and many articles in journals such as /Journal of the American Statistical Association/, /The Annals of Statistics, Biometrika,/ and others.
  • Adjunct Faculty

    Leif Andersen
    Leif B. G. Andersen is the Global Co-Head of The Quantitative Strategies Group at Bank of America Merrill Lynch.  He holds MCs in Electrical and Mechanical Engineering from the Technical University of Denmark, an MBA from University of California at Berkeley, and a PhD in Finance from Aarhus Business School.  He was the co-recipient of Risk Magazine's 2001 Quant of the Year Award, and has worked for more than 20 years as a quantitative researcher in the derivatives pricing and risk management areas. He has authored influential research papers and books in all areas of quantitative finance, and is an Associate Editor of Journal of Computational Finance.

    Peter Cai
    Peter Cai is a Managing Director in charge of portfolio risk management at Morgan Stanley.  He leads a global team aggregating, analyzing and stress testing Morgan Stanley's risk exposures, spanning all of the firm's businesses and operations.  Peter also worked as a risk strategist in the Fixed Income division at Lehman Brothers (now known as Barclays Capital).  Prior to working at Lehman Brothers and Morgan Stanley, he was the global director of consulting at Askari, a boutique risk solutions firm. Peter holds a Ph.D. in Materials Science from Pennsylvania State University as well as the Financial Risk Manager (FRM) and Professional Risk Manager (PRM) certifications.
  • Guest Lecturers

    Devin Anderson
    Devin Anderson is a Director in equity derivative sales at Deutsche Bank, specializing in advising and facilitating asset manager and hedge fund trading. He works closely with clients to develop hedging programs, express market views, and interpret market sentiment from equity derivative implied prices. He has extensive experience in synthetic equity products & options, as well as over-the-counter volatility, dividend, and correlation derivatives. Devin joined Deutsche Bank in 2006. He holds a Bachelors of Finance from the University of Pittsburgh and an MBA from Carnegie Mellon University.

    Mark Higgins
    Mark Higgins, Managing Director, is an FX Options trader at JPMorgan. Previous to this, he co-headed JPM's Investment Bank Quantitative Research group. Prior to joining JP Morgan in 2006, Mark was Vice President at Goldman Sachs where he worked as a currency strategist, responsible for providing pricing, modeling and risk management support to the currency derivatives franchise. Before that, he was the lead financial engineer at Contango Energy, a risk management consulting and software firm, where he designed risk management systems for the electricity and natural gas markets. Mark has a B.Sc. in Engineering Physics and a Ph.D. in Astrophysics from Queen's University, Kingston, Ontario, Canada.

    Dave Korpi
    Dave Korpi is an interest rate derivatives trader at Goldman Sachs.  Prior to joining Goldman Sachs, he was at Deutsche Bank for nine years, where he traded a variety of interest rate products, including options, callable agency debt, and swaps.  Korpi holds a Bachelor of Science degree in Computational Finance from Carnegie Mellon, and has provided advice on trading to students at Carnegie Mellon since 2011.

    Michael Mendelson
    Michael Mendelson, Principal, is Director of Global Trading Research at AQR Capital Management, a Greenwich-based quant investment management firm. AQR’s investments span from aggressive high volatility market-neutral hedge funds to low volatility benchmark-driven traditional products. Prior to joining AQR in 2005, Michael worked at Goldman Sachs where he was MD and Head of Quantitative Trading and served on the Equities Division Risk Committee and as co-chair of the Systems Risk Taskforce. Michael received an MS in Chemical Engineering from MIT along with an BS in Chemical Engineering, and BS in Mathematics, and a BS in Management. Michael has his MBA from the University of California at Los Angeles.

    Scott Morris
    Scott Morris is President of Morris Consulting, LLC which develops quantitative models and automated trading strategies, and advises clients on regulatory relations, risk management, and recruiting.  Scott has served as CEO of the Boston Options Exchange, Managing Director at Goldman Sachs, Partner at Hull Trading Company and Head of Quantitative Research at Ronin Capital.  He has spoken at numerous industry events including those sponsored by the Futures Industry Association, Security Traders Association, Markets Media, OptionCity, the Options Industry Conference and the High Frequency Traders Leadership Forum.  He is a graduate of the University of Chicago with an AB degree in Economics and an MBA in Finance and Statistics.

    Giles Nugent
    Giles Nugent is EVP and head of front office technology for PIMCO in their New York office. Prior to joining PIMCO in 2011, Giles owned his own software development company. Previously, Giles worked for twenty years in research and technology organizations on Wall Street. Most recently, he was head of structured products technology at Bank of America for six years where he also worked on the bank's mergers with Countrywide and Merrill Lynch. For eight years prior to that, he worked at Goldman Sachs in mortgage research, developing applications and supporting the mortgage trading desk, and at Salomon Brothers for five years in mortgage research. Giles holds an MBA from Duke University and a BA in mathematical sciences from the University of North Carolina.

    Sanjay Reddy
    Sanjay Reddy is a Managing Director and the Head of the New York Finance Desk at Citigroup, with responsibility for firm funding and matched book repo trading in U.S. Treasuries, Agency MBS and Debentures, Corporates, Emerging Markets, ABS and Municipals. Sanjay joined Salomon Brothers in 1988 after obtaining a BS in Electrical Engineering from Stanford University. He spent three years developing risk management software before joining the department and has served Citigroup in both London and New York.

    Paul Russo
    Paul Russo is Global co-COO of the Equities Franchise at Goldman Sachs, serving on the Firmwide Risk Committee, Firmwide New Activity Committee and Securities Division Executive Committee. Paul joined Goldman in 1989 in US Equity Derivatives where he was responsible for the Portfolio Trading and the Index Volatility businesses. In 1997, Paul moved to Hong Kong to run non-Japan Asia Equity Derivatives. In 2000, he transferred to co-head the Fixed Income, Currency and Commodities Division in non-Japan Asia and in 2002, moved to the Equities Division in London to head the Equity Derivatives business in Europe. Paul was named Partner in 2000. Paul earned an MBA from the Univ. of Chicago in 1990 and a BS from Carnegie Mellon in 1986.

    David Vener

    David Vener is a Director on the Credit Structuring and Bank Solutions Desk at BNP Paribas. David's transactional experience includes collateralized loan obligations, mortgage re-securitizations, structured funding and various types of credit derivatives including corporate synthetic collateralized debt obligations. David has a BS in Applied Mathematics and Physics from Georgia Tech and a Ph.D. in Applied Mathematics from the Massachusetts Institute of Technology.